Data & Analytics Director

About Trafilea

Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.

Business Intelligence @Trafilea At Trafilea, we foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people, and providing them with the support and development opportunities they need to grow both personally and professionally. With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.

We are looking for a Data & Analytics Director who will lead the company’s data strategy, ensuring the effective collection, analysis, and use of data to drive informed business decisions. This role requires a visionary leader who can manage and develop a high-performing data team, align data initiatives with business objectives, and drive innovation through data-driven insights.

Expected Outcomes & Responsibilities

• Lead the development and implementation of Trafilea’s data strategy.

• Oversee the data science, data engineering, and business intelligence teams.

• Ensure data accuracy, availability, and accessibility across the organization.

• Drive the creation of data models, dashboards, and reports to support business needs.

• Collaborate with cross-functional teams to align data initiatives with business goals.

• Ensure compliance with data privacy and security regulations.

• Stay up-to-date with the latest trends and technologies in data science and analytics.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

• Extensive experience in data leadership roles, with a strong track record of building and managing data teams.

• Expertise in data science, data engineering, and business intelligence.

• Proficiency in SQL, Python, R, and data visualization tools such as Tableau or Power BI.

• Strong analytical skills with the ability to work with large and complex data sets.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Excellent leadership, communication, and project management skills.